class_docstr: A writer for TF debugging events. Used by tfdbg v2.
class_docstr_tok: ["A","writer","for","TF","debugging","events",".","Used","by","tfdbg","v2","."]
docstr: Write a Execution proto with the writer.
  
  Args:
    execution: An Execution proto, describing a TensorFlow op or graph
      execution event.
docstr_tok: ["Write","a","Execution","proto","with","the","writer",".","Args",":","execution",":","An","Execution","proto",",","describing","a","TensorFlow","op","or","graph","execution","event","."]
code: def WriteExecution(self, execution):
      """Write a Execution proto with the writer.
  
      Args:
        execution: An Execution proto, describing a TensorFlow op or graph
          execution event.
      """
      debug_event = debug_event_pb2.DebugEvent(execution=execution)
      self._EnsureTimestampAdded(debug_event)
      _pywrap_debug_events_writer.WriteExecution(
          self._dump_root, debug_event
      )
  
file_path: tensorflow-upstream/tensorflow/python/debug/lib/debug_events_writer.py
imports: import time
  from tensorflow.core.protobuf import debug_event_pb2
  from tensorflow.python.client import _pywrap_debug_events_writer
label_desc: Use image node_id 6 for calling the DebugEventsWriter obj's underlying member method code with example usage: obj.WriteExecution(execution) without return types